Sports quant analyst

Sports quant analyst – betting syndicate build out from an established firm LondonCompensation: Competitive, with flexibility for exceptional domain expertiseHybrid working – potential to be remote outside of UKI\’m looking for a quant analyst to join this growing quant & data science team with a strong background in mathematical modeling and statistics, ideally with expertise in sports models. This role offers the freedom to build models from the ground up, shaping the direction of this firms sports analytics.What You’ll Be Working On:Developing fundamental models for sports, for example : American football, baseball, tennis, and ice hockeyPricing same-game parlays with a focus on rigorous statistical methodsApplying Bayesian inference, filtering techniques, and advanced mathematical statsCollaborating with quant engineering teams to build dashboards and implement modelsDriving innovation within a startup-style environment backed by an established companyHelping shape proprietary betting strategies, bet builders, and sportsbook feedsWho We’re Looking For:Strong academic background (Bachelor’s/Master’s; PhD is a plus but not required)Strong years of experience in a reputable syndicate or quantitative teamDeep domain knowledge in sports (American football/baseball is a bonus!)Experience building models from first principles, rather than tweaking existing frameworksProficiency in R, Python, or other relevant programming languagesWhy Join Us?Creative autonomy – take ownership of your sport and drive innovationStart-up culture within an established company – flexibility to explore cutting-edge strategiesA growing quant team with long-term ambitions (20-25 people planned)Opportunity to be involved in major industry shifts, including expansion into regulated Asian marketsThis is a high-impact role where the right candidate will shape the direction of their sports models.Interested? Get in touch.